Learn deep learning the easy way

Deep learning wizardry

We deploy a top-down approach that enables you to grasp deep learning theories and code easily and quickly

PyTorch by Facebook

We chose PyTorch because it integrates with Python well with similar syntax that allows you to quickly pick it up and implement your projects and research papers on GPU and CPU. It is also actively maintained by Facebook.

Top Instructors

Our lead instructor, Ritchie Ng, is currently an NVIDIA Deep Learning Institute Instructor, leads deep learning at an AI hedge fund, and conducts research with MILA researchers. And our lead course advisor, Jie Fu, is a postdoctoral researcher in deep learning at the University of Montreal.

For Visual Learners

We are visual creatures, that is why we offer detailed video courses on Udemy that have shown to accelerate learning and boost knowledge retention. Our courses are updated regularly to ensure our codes are compatible with the latest version of PyTorch.

For Book Lovers

We've an upcoming book consolidating our courses from beginner to advanced for deep learning wizards who would like to have a great manual by their side.

“”I really feel like I can take the techniques I learned and apply them to deep learning projects of my choosing.

Charles Neiswender

Muktabh Mayank

“”Congratulations! You have achieved the unachievable, teaching a 15 year old boy how to get a machine to estimate a function, just what he had been trying to do for almost a year.

Roberto Treviño Cervantes

Our team

Our team comprises deep learning researchers from renowned AI labs in the world

Ritchie Ng

Founder & Lead Instructor

He is currently leading artificial intelligence with his colleagues at ensemblecap.ai, an AI hedge fund based in Singapore. He is also an NVIDIA Deep Learning Institute instructor enabling developers, data scientists, and researchers leverage on deep learning to solve the most challenging problems. In his leisure time, he dives into computer vision research, in particular Visual Question Answering (VQA) with researchers in NUS and MILA (Montreal).

Jie Fu

Lead Course Editor

He is enjoying his postdoc journey at Montreal Institute for Learning Algorithms (MILA). He earned his PhD degree from National University of Singapore (NUS), and was fortunately under the supervision of Tat-Seng Chua and Huan Xu, also closely working with Jiashi Feng and Kian Hsiang Low.

Learn deep learning the easy way without advanced math or programming skills.